DocumentCode :
2064901
Title :
Identifying roads and houses from scanned aerial photography and combining them with TIGER and digital terrain data of suburban areas
Author :
Gervin, Janette C. ; Ragan, Robert M.
Author_Institution :
NASA Goddard Space Flight Center, Greenbelt, MD, USA
fYear :
1993
fDate :
18-21 Aug 1993
Firstpage :
1550
Abstract :
A method for deriving the location of houses and roads from scanned NHAP and NAPP aerial photography using spectral, spatial (spatial smoothing and filtering and road segment size), and contextual (proximity to road) techniques was demonstrated. Despite differences in house size and construction age, analysis of both test and verification sites achieved acceptable accuracies, with more than 92 percent of the houses correctly identified. This house and road image derived from scanned USGS NHAP aerial photography, demographic data from the Bureau of the Census TIGER/Line files, and digital terrain data provided by the USGS Digital Elevation Model (DEM) files were then combined using analysis techniques developed to utilize imagery from spaceborne multispectral instruments
Keywords :
cartography; geophysical techniques; geophysics computing; image recognition; remote sensing; NAPP; TIGER; cartography; context; contextual; digital terrain; geophysical measurement technique; house; image recognition; imagery; land surface terrain mapping; location; pattern recognition; remote sensing; road; scanned aerial photography; spatial data; suburban; urban area; Demography; Digital elevation models; Filtering; Image analysis; Image segmentation; Instruments; Photography; Roads; Smoothing methods; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
Type :
conf
DOI :
10.1109/IGARSS.1993.322766
Filename :
322766
Link To Document :
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